Fraud is difficult to identify, and forensic data analytics can often help.
This session will discuss how forensic data analytics can be used both proactivity and reactively to better identify fraud risk. It will show the power of data analytics using both proactive and reactive case studies. We will introduce a method to apply data analytics, demonstrate capability and explain how the data analytics methodology can be used to efficiently and effectively identify risk.
Highlight the importance of utilizing a multi-faceted team for the strategic application of Data Analytics
Reactive application of Data Analytics: case study on wire fraud
Proactive application of Data Analytics: case study on techniques to apply to multiple populations to address risk